Framework Accelerating Care Transformation-Solving for Value

In designing the mode.life platform, we started with a clear vision of the desired outcome. The purpose of our mode.life platform is to provide meaningful and actionable insights customized for everyone, insights for the purpose of maintaining and improving everyone’s well-being. Adopting this approach, we reverse-engineered the process to identify the data most effective in generating these insights.

To achieve this objective, we started by creating The Framework Accelerating Care Transformation (F.A.C.T.) Solving for Value. One aspect of The F.A.C.T. is the Decision Matrix. The Decision Matrix characterizes data elements in the context of their utilization by assessing their clinical value and primary purpose. We employ the signal-to-noise ratio concept to assess clinical value (Y-axis) and categorize the primary purpose into three domains: Business/Policy, Operational/Process, and Clinical/Scientific (X-axis). Understanding each of these element’s values and core purpose informs the tactical requirements to build our platform and achieve our objective.

Ultimately, we differentiated between the highest and lowest value data elements for inclusion in our digital models. Importantly, we have assessed the value of the data not only to Individual Insights but also to the sectors that would benefit from this information. Applying a Precision Medicine approach to the Decision Matrix helps identify the data of greatest value for clinical and life sciences sectors, for instance. The highest value data are highlighted in the upper right corner of The Decision Matrix.

The resulting 'F.A.C.T. Solving for Value – Decision Matrix' not only guides our process but also offers broader applications. Let’s begin again with the end in mind and apply the concept of Value Based Care (VBC) as originally developed. VBC is simply defined as Value = Outcome / Cost, and all healthcare industry activities must be measured by this simple formula. What if every activity in the healthcare industry was evaluated using this equation through the lens of the Decision Matrix, asking ourselves what best drives improvement in outcomes and reductions in cost?

Who is getting value from a given activity and at what cost? Is it really the best use of our limited resources? What are you really seeing in the analysis? Why does cost continue to rise and life expectancy declines? How can we achieve care that is Effective, Accessible and Affordable for All Populations?